More from Math Visualization
Other simulators in this category — or see all 84.
Power Iteration Eigenvalue Convergence
Visualize dominant eigenvector convergence: spectral gap ratio, Rayleigh quotient, eigen residual, and normalized power iterates on the unit circle.
Newton-Raphson Basins in 2D Systems
Map Newton basins for nonlinear F(x,y)=0 systems: initial-guess sensitivity, iteration counts, root attraction, and singular-Jacobian failures.
Monte Carlo Integration & Variance Reduction
Compare plain Monte Carlo, importance sampling, and stratified sampling for ∫f(x)dx, with convergence curves, standard error, and the 1/√N rate.
PCA / SVD Geometry
Covariance ellipse and SVD view of dimensionality reduction: principal components, explained variance, and rank-1 reconstruction error.
Gradient Descent Optimizers
Compare SGD, momentum, and Adam on a curved loss landscape; tune learning rate, curvature, stability, and iteration count.
Gaussian Mixture EM Algorithm
Expectation-maximization for a two-component Gaussian mixture: responsibilities, E/M steps, likelihood, and covariance ellipses.